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Compositing Graphs IQR Outlier Flags + Keyed Dataset Comparison
x402
Compositing Graphs IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs two local analytical reports on compositing graph records — IQR-based outlier flagging and keyed dataset comparison — for up to 200 rows of node_count and render_seconds data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compositing graphs — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison for supplied compositing graphs records (node_count, render_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) IQR outlier flags indicating which rows have node_count or render_seconds values outside the interquartile range, and (2) a keyed dataset comparison showing differences between the primary and secondary dataset rows matched by row_id and asset_group.
Example use cases
Outlier detection in render pipeline
“I've got daily compositing graph logs with node_count and render_seconds for each asset group — can you flag any IQR outliers in render_seconds so I know which jobs are statistically abnormal?”
Before-after compositing graph comparison
“We ran a pipeline optimization last week. Can you compare our compositing graph records from before the change versus after, keyed by row_id and asset_group, to see which jobs changed significantly in node_count?”
QA check on two render farm datasets
“I have two compositing graph exports from different render farms — same jobs, different machines. Can you do a keyed comparison on both datasets and also flag IQR outliers in node_count so I can spot discrepancies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-09-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have compositing graph data (node_count, render_seconds) and need both statistical outlier detection via IQR and a direct keyed comparison between two datasets in a single call. It is purpose-built for compositing pipeline analytics up to 200 rows, with no external lookups or predictions — ideal for offline or batch QA workflows where cost-efficiency matters.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, asset_group, date, node_count, render_seconds) cause validation errors
- Date fields not matching YYYY-MM-DD pattern cause schema rejection
- Both datasets must have matching keys for comparison to be meaningful; mismatched keys produce empty or partial comparisons
- Null values in node_count or render_seconds may affect IQR calculation accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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